A free diagnostic shows you where AI fits, what it would cost, and what to build first. Then we build it. Fixed-fee, scoped to your business. No retainers. No jargon. No projects that drag on.
Already know you need help? Book a 20-min call
Most AI consultancies sell six-month strategy decks. Freelance shops sell builds before the build should happen. We do the measurement first, and we only build what the measurement justifies. The free diagnostic below is the entry point.
Other consultancies hide their limits to keep options open in the sales cycle. We publish ours, because what we refuse tells you more about how we think than any list of services would.
Every workflow we build comes with the measurement to know whether it’s working. If we can’t define what success looks like in numbers, we don’t build it. This is also written into every Build contract as a kill-criterion: the metric that would tell us to shut a workflow down.
Sonata is headquartered in Dubai because the MENA SMB market is underserved relative to its appetite for serious AI work. We understand the local realities that generic AI consultancies miss: family-business decision structures, multi-entity group operations, regional data-residency expectations, the rhythms of GCC and Levant operating calendars, the demand for Arabic-language work alongside English. We work globally where the fit is right, but the centre of our practice is regional by design.
A 20-minute conversational diagnostic that probes four pillars (data, process, people, strategy) and returns a calibrated score plus a written report. You keep the report whether you hire us or not.
Two weeks of discovery and synthesis. Output: a 12-20 page document ranking every viable AI application in your business by payback period, build complexity, and the failure modes we’ve seen elsewhere.
Production builds of the workflows the map prescribed, with instrumentation from day one. Every workflow ships with a kill-criterion: the metric that would tell us to shut it down. You own the code, the data, the result.
Every week we turn down a request for an “AI that closes deals for us.” The pitch is intuitive: AI is good at language, sales is mostly language, therefore. The reasoning doesn’t hold, and here’s why we’ve seen it fail.
It isn’t a chatbot. It isn’t an agent. It’s a system that reads PDFs of invoices and puts the data in your ERP. Document extraction has a 3-5 month payback in every shape of business we’ve scoped it for. Here’s why.
Clients often ask us to scope ten initiatives. We talk most of them down to three. The reason isn’t conservatism, it’s arithmetic. Beyond about three concurrent AI workflows, an SMB without dedicated AI ops capacity loses more to operational drag than they gain in throughput.
Every Build engagement we sign includes a written kill-criterion: the metric that would tell us to shut a workflow down. The honest version of this is more useful than any guarantee, and it’s the thing that separates us from consultancies that bill regardless of outcome.
No pitch, no slide deck. We’ll ask about your operation and tell you straight whether AI would actually help, where, and what it would cost. If we’re not the right team, we’ll say so.